Perancangan Diagnosa Covid-19 Menggunakan Metode Case Based Reasoning (CBR) Untuk Mengidentifikasi Tingkatan Gejala Pasien Covid-19

Nofita Rismawati(1*), Muhamad Femy Mulya(2)

(1) Universitas Indraprasta PGRI
(2) Universitas Tanri Abeng
(*) Corresponding Author

Abstract


COVID-19 is a disease caused by a new coronavirus derivative, 'CO' taken from coronavirus, 'VI' virus, and 'D' disease (disease). The outbreak of this disease has shaken the world community so much that almost 200 countries in the world have been infected by this virus, including Indonesia. To reduce the number of COVID-19 sufferers, an expert system is needed that can carry out the process of identifying the symptoms of COVID-19 so that it is easier for patients to identify the type of COVID-19 they are suffering from and not make mistakes in the treatment process. Based on this background, researchers are interested in designing an expert system application that can assist the COVID-19 diagnosis process and can be used for public services such as health centers, clinics, and hospitals. The method used by researchers in designing this expert system is the case-based reasoning method. CBR is an approach to solving a problem based on solutions to previous problems. CBR has four process stages: retrieve, reuse, revise, and retain. From the results of testing six important features in the application involving five application users using the Blackbox Testing method, a testing percentage of 98.9% was obtained, which means that the application test results are in accordance with the user's wishes, and this application is expected to help in identifying patients with COVID-19 symptoms.

Keywords: Covid-19, Case-Based Reasoning (CBR), Blackbox Testing


Full Text:

PDF (Indonesian)

References


M. R. Darmawan and S. Wibisono, “Deteksi Dini Varian Covid-19 Dengan Metode CBR-AHP Dan Sorgenfrei,” Pixel J. Ilm. Komput. Graf., vol. 15, no. 1, pp. 132–141, Jul. 2022, doi: 10.51903/PIXEL.V15I1.747.

F. Setiawan, S. Wibisono, K. Mugas, and J. Trilomba Juang No, “ALGORITMA BRAY&CURTIS BERBOBOT PADA CBR PENENTUAN KELUARGA TERDAMPAK COVID-19,” J. Manaj. Inform. dan Sist. Inf., vol. 4, no. 2, pp. 131–140, Oct. 2021, doi: 10.36595/MISI.V4I2.387.

D. A. Kusuma and C. Chairani, “Rancang Bangun Sistem Pakar Pendiagnosa Penyakit Paru-Paru Menggunakan Metode Case Based Reasoning,” J. Inform. dan Elektron., vol. 6, no. 2, Jan. 2015, doi: 10.20895/INFOTEL.V6I2.74.

K. H. Abdulkareem et al., “Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment,” IEEE Internet Things J., vol. 8, no. 21, pp. 15919–15928, Nov. 2021, doi: 10.1109/JIOT.2021.3050775.

Henderi, R. P. Merliasari, H. L. H. S. Warnars, and Sugiyatno, “Covid-19 series: A rule-based decision support system for analysis behavior of people while working from home,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1007, no. 1, Dec. 2020, doi: 10.1088/1757-899X/1007/1/012031.

S. Mishra, S. Yadav, M. Aggarwal, Y. Sharma, and R. Muzayanah, “Developed an expert system for analysis of covid-19 affected,” J. Soft Comput. Explor., vol. 4, no. 1, Jan. 2023, doi: 10.52465/JOSCEX.V4I1.113.

P. A. H. Pratama, R. Teguh, A. S. Sahay, and V. Wilentine, “Deteksi COVID-19 Berdasarkan Hasil Rontgen Dada (Chest Xray) Menggunakan Python,” J. Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 58–67, Jun. 2021, doi: 10.47111/JOINTECOMS.V1I1.2956.

R. Al Dzahabi Yunas, A. Triayudi, and I. D. Sholihati, “Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 3, p. 338, Jul. 2021, doi: 10.35870/JTIK.V5I3.221.

A. Wijayanti, F. N. Arifah, D. E. Putri, M. D. Satriyanto, and S. Sallu, “Sistem Pakar Dalam Mendiagnosa Penyakit Tubercolosis dengan mengimplementasikan Metode Case Based Reasoning,” J. Comput. Syst. Informatics, vol. 4, no. 3, pp. 570–577, May 2023, doi: 10.47065/JOSYC.V4I3.3409.

Maukar, E. Sutanty, and D. K. Astuti, “Kombinasi Case-Based Reasoning dan Rule-Based Reasoning Pada Sistem Pakar Deteksi Awal Covid-19,” Decod. J. Pendidik. Teknol. Inf., vol. 3, no. 1, pp. 94–105, Feb. 2023, doi: 10.51454/DECODE.V3I1.138.

I. Putu and A. E. Pratama, “The Implementation and Testing of Online Self-Diagnose Covid19 Application Using CBR and UAT,” Int. J. Adv. Data Inf. Syst., vol. 2, no. 2, pp. 73–83, Nov. 2021, doi: 10.25008/IJADIS.V2I2.1223.

M. F. Suryana, F. Fauziah, and R. T. K. Sari, “Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19),” J. MEDIA Inform. BUDIDARMA, vol. 4, no. 3, p. 559, Jul. 2020, doi: 10.30865/MIB.V4I3.2132.

D. Arisandi, L. Elvitaria, L. Trisnawati, and C. Author, “A Testing of Case-Base Reasoning for Covid-19 Patient Status Confirmation,” Indones. J. Artif. Intell. Data Min., vol. 4, no. 2, pp. 72–78, Nov. 2021, doi: 10.24014/IJAIDM.V4I2.11990.

M. Nugraheni, Widodo, and I. P. Sari, “A Case-Based Reasoning for Detection Coronavirus (Covid-19) Using Cosine Similarity,” Proc. Conf. Broad Expo. to Sci. Technol. 2021 (BEST 2021), vol. 210, pp. 178–183, Feb. 2022, doi: 10.2991/AER.K.220131.030.

X. W. Gao and A. Gao, “COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images,” Proc. - 20th IEEE Int. Conf. Mach. Learn. Appl. ICMLA 2021, pp. 1319–1324, 2021, doi: 10.1109/ICMLA52953.2021.00214.

M. Nugraheni, “Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient,” IJISTECH (International J. Inf. Syst. Technol., vol. 5, no. 1, pp. 31–37, Jun. 2021, doi: 10.30645/IJISTECH.V5I1.112.




DOI: http://dx.doi.org/10.30998/faktorexacta.v16i4.19767

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

template doaj grammarly tools mendeley crossref SINTA sinta faktor exacta   Garuda Garuda Garuda Garuda Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Flag Counter

site
stats View Faktor Exacta Stats


pkp index